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AMD EPYC 3255 8-Core Temp testing with a congatec conga-B7E3 (5.13 BIOS) and MSI NVIDIA GeForce GTX 1050 2GB on Ubuntu 16.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2106294-IB-SS497779426
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C/C++ Compiler Tests 3 Tests
CPU Massive 7 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 3 Tests
Common Kernel Benchmarks 2 Tests
Memory Test Suite 2 Tests
Multi-Core 4 Tests
OpenMPI Tests 2 Tests
Server CPU Tests 4 Tests
Single-Threaded 2 Tests

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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
sysbench1604Ph10
June 28 2021
  5 Minutes
graphics-magick1604Ph10
June 28 2021
  22 Minutes
ipc-benchmarking1604Ph10
June 28 2021
  4 Minutes
ipc-benchmarking1024-1604Ph10
June 28 2021
  2 Minutes
amg1604Ph10
June 28 2021
  3 Minutes
tensorflow1604PH10
June 28 2021
 
ramspeed1604Ph10
June 28 2021
  50 Minutes
npb1604Ph10
June 28 2021
  34 Minutes
scimark1604Ph10
June 28 2021
  2 Minutes
cachebench1604Ph10
June 28 2021
  19 Minutes
onednn1604Ph10
June 29 2021
  42 Minutes
apache-ctx_clock1604Ph10
June 29 2021
  3 Minutes
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  15 Minutes

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ss, "Sysbench 1.0.20 - Test: CPU", Higher Results Are Better "sysbench1604Ph10",12118.33,12006.55,11929.65 "Algebraic Multi-Grid Benchmark 1.2 - ", Higher Results Are Better "amg1604Ph10",97942090,97789150,97813680 "GraphicsMagick 1.3.33 - Operation: Swirl", Higher Results Are Better "graphics-magick1604Ph10",289,287,286 "GraphicsMagick 1.3.33 - Operation: Rotate", Higher Results Are Better "graphics-magick1604Ph10",459,454,460 "GraphicsMagick 1.3.33 - Operation: Sharpen", Higher Results Are Better "graphics-magick1604Ph10", "GraphicsMagick 1.3.33 - Operation: Enhanced", Higher Results Are Better "graphics-magick1604Ph10",121,120,120 "GraphicsMagick 1.3.33 - Operation: Resizing", Higher Results Are Better "graphics-magick1604Ph10",580,579,579 "GraphicsMagick 1.3.33 - Operation: Noise-Gaussian", Higher Results Are Better "graphics-magick1604Ph10", "GraphicsMagick 1.3.33 - Operation: HWB Color Space", Higher Results Are Better "graphics-magick1604Ph10",710,712,710 "RAMspeed SMP 3.5.0 - Type: Add - Benchmark: Integer", Higher Results Are Better "ramspeed1604Ph10",11130.58,11105.91,11108.65 "RAMspeed SMP 3.5.0 - Type: Scale - Benchmark: Integer", Higher Results Are Better "ramspeed1604Ph10",9692.29,9583.02,9689.21 "RAMspeed SMP 3.5.0 - Type: Average - Benchmark: Integer", Higher Results Are Better "ramspeed1604Ph10",10347.39,10349.2,10404.08 "RAMspeed SMP 3.5.0 - Type: Add - Benchmark: Floating Point", Higher Results Are Better "ramspeed1604Ph10",11138.12,11119.26,11110.53 "RAMspeed SMP 3.5.0 - Type: Scale - Benchmark: Floating Point", Higher Results Are Better "ramspeed1604Ph10",9822.86,9826.42,9807.47 "RAMspeed SMP 3.5.0 - Type: Average - Benchmark: Floating Point", Higher Results Are Better "ramspeed1604Ph10",10482.47,10483.92,10499.62 "CacheBench - Test: Read", Higher Results Are Better "cachebench1604Ph10",2093.754666,2088.80048,2078.329276 "CacheBench - Test: Write", Higher Results Are Better "cachebench1604Ph10",10882.233727,10824.277603,10888.675585 "CacheBench - Test: Read / Modify / Write", Higher Results Are Better "cachebench1604Ph10",21675.364993,21560.932226,21683.368482 "IPC_benchmark - Type: TCP Socket - Message Bytes: 128", Higher Results Are Better "ipc-benchmarking1604Ph10",1929212,1936815,1944382 "IPC_benchmark - Type: Unnamed Pipe - Message Bytes: 128", Higher Results Are Better "ipc-benchmarking1604Ph10",1910985,1929711,1937763 "IPC_benchmark - Type: FIFO Named Pipe - Message Bytes: 128", Higher Results Are Better "ipc-benchmarking1604Ph10",1805751,1780572,1848108 "IPC_benchmark - Type: Unnamed Unix Domain Socket - Message Bytes: 128", Higher Results Are Better "ipc-benchmarking1604Ph10",873693,915806,1289328,1051305,1231102,878949,879742,937926,973551,871193,879381,1351189,880751,1140666,876021 "IPC_benchmark - Type: TCP Socket - Message Bytes: 1024", Higher Results Are Better "ipc-benchmarking1024-1604Ph10",1484242,1480274,1464625 "IPC_benchmark - Type: Unnamed Pipe - Message Bytes: 1024", Higher Results Are Better "ipc-benchmarking1024-1604Ph10",1653163,1666142,1621781 "IPC_benchmark - Type: FIFO Named Pipe - Message Bytes: 1024", Higher Results Are Better "ipc-benchmarking1024-1604Ph10",1596776,1570983,1602704 "IPC_benchmark - Type: Unnamed Unix Domain Socket - Message Bytes: 1024", Higher Results Are Better "ipc-benchmarking1024-1604Ph10",1508941,1502603,1484107 "SciMark 2.0 - Computational Test: Composite", Higher Results Are Better "scimark1604Ph10",386.72,374.96,387.04 "SciMark 2.0 - Computational Test: Monte Carlo", Higher Results Are Better "scimark1604Ph10",101.16,102.1,101.16 "SciMark 2.0 - Computational Test: Fast Fourier Transform", Higher Results Are Better "scimark1604Ph10",166.75,168.31,166.41 "SciMark 2.0 - Computational Test: Sparse Matrix Multiply", Higher Results Are Better "scimark1604Ph10",499.31,502.49,499.05 "SciMark 2.0 - Computational Test: Dense LU Matrix Factorization", Higher Results Are Better "scimark1604Ph10",312.49,316.83,315.09 "SciMark 2.0 - Computational Test: Jacobi Successive Over-Relaxation", Higher Results Are Better "scimark1604Ph10",853.9,785.08,853.52 "Apache Benchmark 2.4.29 - Static Web Page Serving", Higher Results Are Better "apache-ctx_clock1604Ph10",19704.78,19548.68,19122.65 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.C", Higher Results Are Better "npb1604Ph10",222.07,220.8,221.1 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.D", Higher Results Are Better "npb1604Ph10",218.31,216.74,216.61 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",17.9551,17.7416,17.5803 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",18.6203,18.5901,18.5678 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",9.78849,9.77523,9.77334 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",4.86462,4.86344,4.86229 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",38.3038,38.3174,38.3015 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",14.5489,14.6491,14.6321 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",21.0188,21.0447,20.858 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",43.9534,43.9552,43.9027 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",10.2266,10.2658,10.2651 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",13.767,13.9382,13.7732 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",12184.9,12260.2,12318.7 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",8575.11,8560.74,8604.11 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",12263.8,12359.8,12319 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",8551.77,8593.38,8587.55 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",10.7502,10.7486,10.9213 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",12266,12212.5,12309.2 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",8545.81,8618.86,8552.8 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn1604Ph10",6.42701,6.41209,6.41484